Evidence map›Paper›PMID 33989519›Full record

ArticleStem cell reports2021

Human iPSC-based neurodevelopmental models of globoid cell leukodystrophy uncover patient- and cell type-specific disease phenotypes.

Elisabeth Mangiameli, Anna Cecchele, Francesco Morena, Francesca Sanvito, Vittoria Matafora, Angela Cattaneo, Lucrezia Della Volpe, Daniela Gnani, Marianna Paulis, Lucia Susani and 4 more

Open access · goldAbstract read
In one paragraph

Article in Stem cell reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
3.1field-weighted citation impact, top 8% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

16 citing papers in PubMed, 33 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors at 6 institutions in 1 country.

Elisabeth MangiameliSan Raffaele Telethon Institute for Gene Therapy (SR-Tiget), IRCCS San Raffaele Scientific Institute, Via Olgettina 60, 20132 Milan, Italy.
Anna CeccheleSan Raffaele Telethon Institute for Gene Therapy (SR-Tiget), IRCCS San Raffaele Scientific Institute, Via Olgettina 60, 20132 Milan, Italy.
Francesco MorenaDepartment of Chemistry, Biology and Biotechnology, University of Perugia, Via del Giochetto, 06123 Perugia, Italy.
Francesca SanvitoPathology Unit, IRCCS San Raffaele Scientific Institute, Via Olgettina 60, 20132 Milan, Italy.
Vittoria MataforaIFOM-FIRC Institute of Molecular Oncology, Via Adamello 16, 20139 Milan, Italy.
Angela CattaneoIFOM-FIRC Institute of Molecular Oncology, Via Adamello 16, 20139 Milan, Italy.
Lucrezia Della VolpeSan Raffaele Telethon Institute for Gene Therapy (SR-Tiget), IRCCS San Raffaele Scientific Institute, Via Olgettina 60, 20132 Milan, Italy.
Daniela GnaniSan Raffaele Telethon Institute for Gene Therapy (SR-Tiget), IRCCS San Raffaele Scientific Institute, Via Olgettina 60, 20132 Milan, Italy.
Marianna PaulisHumanitas Clinical and Research Center-IRCCS, Rozzano, Milan, Italy; National Research Council (CNR)-IRGB/UOS of Milan, Milan, Italy.
Lucia SusaniHumanitas Clinical and Research Center-IRCCS, Rozzano, Milan, Italy; National Research Council (CNR)-IRGB/UOS of Milan, Milan, Italy.
Sabata MartinoDepartment of Chemistry, Biology and Biotechnology, University of Perugia, Via del Giochetto, 06123 Perugia, Italy.
Raffaella Di MiccoSan Raffaele Telethon Institute for Gene Therapy (SR-Tiget), IRCCS San Raffaele Scientific Institute, Via Olgettina 60, 20132 Milan, Italy.
Angela BachiIFOM-FIRC Institute of Molecular Oncology, Via Adamello 16, 20139 Milan, Italy.
Angela GrittiSan Raffaele Telethon Institute for Gene Therapy (SR-Tiget), IRCCS San Raffaele Scientific Institute, Via Olgettina 60, 20132 Milan, Italy. Electronic address: gritti.angela@hsr.it.
The San Raffaele Telethon Institute for Gene Therapy · ITFIRC Institute of Molecular Oncology · ITIstituto di Ricovero e Cura a Carattere Scientifico San RaffaeleUniversity of Perugia · ITHumanitas University · ITNational Research Council · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Globoid cell leukodystrophy (GLD) is a rare neurodegenerative lysosomal storage disease caused by an inherited deficiency of β-galactocerebrosidase (GALC). GLD pathogenesis and therapeutic correction have been poorly studied in patient neural cells. Here, we investigated the impact of GALC deficiency and lentiviral vector-mediated GALC rescue/overexpression in induced pluripotent stem cell (iPSC)-derived neural progenitors and neuronal/glial progeny obtained from two GLD patients. GLD neural progeny displayed progressive psychosine storage, oligodendroglial and neuronal defects, unbalanced lipid composition, and early activation of cellular senescence, depending on the disease-causing mutation. The partial rescue of the neural differentiation program upon GALC reconstitution and psychosine clearance suggests multiple mechanisms contributing to neural pathology in GLD. Also, the pathological phenotype associated to supraphysiological GALC levels highlights the need of regulated GALC expression for proper human neural commitment/differentiation. These data have important implications for establishing safe therapeutic strategies to enhance disease correction of GLD.

Indexed as

Cell DifferentiationCells, CulturedGalactosylceramidaseGenetic Predisposition to DiseaseGenetic TherapyHumansInduced Pluripotent Stem CellsLeukodystrophy, Globoid CellOligodendrogliaPhenotypePsychosineStem CellsGalactosylceramidasePsychosinegene therapyKrabbe diseaseleukodystrophyneural progenitorsneuronsoligodendrocytesPluripotent stem cellssenescence

Identifiers

PMID33989519
PMCPMC8190599
OpenAlexW3162162971

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.